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1 – 10 of over 5000Carlos Alberto Rojas Trejos, Jose D. Meisel and Wilson Adarme Jaimes
The purpose of this paper is to review the relevant literature in order to identify trends and suggest some possible directions for future research in the framework of…
Abstract
Purpose
The purpose of this paper is to review the relevant literature in order to identify trends and suggest some possible directions for future research in the framework of humanitarian aid distribution logistics with accessibility constraints.
Design/methodology/approach
The authors developed a systematic literature review to study the state of the art on distribution logistics considering accessibility constraints. The electronic databases used were Web of science, Scopus, Science Direct, Jstor, Emerald, EBSCO, Scielo and Redalyc. As a result, 49 articles were reviewed in detail.
Findings
This study identified some gaps, as well as some research opportunities. The main conclusions are the need for further studies on the interrelationships and hierarchies of multiple actors, explore intermodality, transshipment options and redistribution relief goods to avoid severe shortages in some nodes and excess inventory in others, studies of the vulnerability of transport networks, correlational analysis of road failures and other future lines.
Research limitations/implications
The bibliography is limited to peer-reviewed academic journals due to their academic relevance, accessibility and ease of searching. Most of the studies included in the review were conducted in high-income countries, which may limit the generalizability of the results to low-income countries. However, the authors focused on databases covering important journals on humanitarian logistics.
Originality/value
This paper contextualises and synthesises research into humanitarian aid distribution logistics with accessibility constrains, highlights key themes and suggests areas for further research.
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This study aims to estimate the firm size distributions that belong to the service sector and manufacturing sector in Korea.
Abstract
Purpose
This study aims to estimate the firm size distributions that belong to the service sector and manufacturing sector in Korea.
Design/methodology/approach
When estimating the firm size distribution, the author considers the following two major factors. First, the firm size distribution can have a gamma distribution rather than traditional accepted distributions such as Pareto distribution or log-normal distribution. In particular, industry-specific enterprises can have different size distributions of the type of gamma distribution. Second, the firm size distribution that is applied to this study’s data set should reflect a number of factors. For example, estimating mixture gamma distribution for firm size distribution should be required and compared, because the total amount of configuration data is composed of small businesses, medium-sized and large companies.
Findings
Using 8,230 number of firm data in 2013, the author estimates mixture gamma distribution for the firm size.
Originality/value
From the comparison, empirical results are found for the following characteristics of core firm size distribution: first, the firm size distribution of the manufacturing sector has a longer tail than firm size distribution of the service sector. Second, the manufacturing firm size distribution dominates the entire country firm size distribution. Third, one factor among the three factors that make up the mixed gamma firm size distribution is described for 99 per cent of the firm size distributions. From the estimated firm size distributions of the service sector and manufacturing sector in Korea, the author simply implies the strategy and policy implications for the start-up firm.
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Anirut Kantasa-ard, Tarik Chargui, Abdelghani Bekrar, Abdessamad AitElCadi and Yves Sallez
This paper proposes an approach to solve the vehicle routing problem with simultaneous pickup and delivery (VRPSPD) in the context of the Physical Internet (PI) supply chain. The…
Abstract
Purpose
This paper proposes an approach to solve the vehicle routing problem with simultaneous pickup and delivery (VRPSPD) in the context of the Physical Internet (PI) supply chain. The main objective is to minimize the total distribution costs (transportation cost and holding cost) to supply retailers from PI hubs.
Design/methodology/approach
Mixed integer programming (MIP) is proposed to solve the problem in smaller instances. A random local search (RLS) algorithm and a simulated annealing (SA) metaheuristic are proposed to solve larger instances of the problem.
Findings
The results show that SA provides the best solution in terms of total distribution cost and provides a good result regarding holding cost and transportation cost compared to other heuristic methods. Moreover, in terms of total carbon emissions, the PI concept proposed a better solution than the classical supply chain.
Research limitations/implications
The sustainability of the route construction applied to the PI is validated through carbon emissions.
Practical implications
This approach also relates to the main objectives of transportation in the PI context: reduce empty trips and share transportation resources between PI-hubs and retailers. The proposed approaches are then validated through a case study of agricultural products in Thailand.
Social implications
This approach is also relevant with the reduction of driving hours on the road because of share transportation results and shorter distance than the classical route planning.
Originality/value
This paper addresses the VRPSPD problem in the PI context, which is based on sharing transportation and storage resources while considering sustainability.
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Adrian Fernando Rivera, Neale R. Smith and Angel Ruiz
Food banks play an increasingly important role in society by mitigating hunger and helping needy people; however, research aimed at improving food bank operations is limited.
Abstract
Purpose
Food banks play an increasingly important role in society by mitigating hunger and helping needy people; however, research aimed at improving food bank operations is limited.
Design/methodology/approach
This systematic review used Web of Science and Scopus as search engines, which are extensive databases in Operations Research and Management Science. Ninety-five articles regarding food bank operations were deeply analyzed to contribute to this literature review.
Findings
Through a systematic literature review, this paper identifies the challenges faced by food banks from an operations management perspective and positions the scientific contributions proposed to address these challenges.
Originality/value
This study makes three main contributions to the current literature. First, this study provides new researchers with an overview of the key features of food bank operations. Second, this study identifies and classifies the proposed optimization models to support food bank managers with decision-making. Finally, this study discusses the challenges of food bank operations and proposes promising future research avenues.
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Rahmi Yuniarti, Ilyas Masudin, Ahmad Rusdiansyah and Dwi Iryaning Handayani
This study aimed to develop the integration of the multiperiod production-distribution model in a closed-loop supply chain involving carbon emission and traceability. The…
Abstract
Purpose
This study aimed to develop the integration of the multiperiod production-distribution model in a closed-loop supply chain involving carbon emission and traceability. The developed model was for agricultural food (agri-food) products, considering the reverse flow of food waste from the disposal center (composting center) to producers.
Findings
The results indicate that integrating the production and distribution model considering food waste recycling provides low carbon emissions in lower total costs. The sensitivity analysis also found that there are trade-offs between production and distribution rate and food waste levels on carbon emission and traceability.
Research limitations/implications
This study focuses on the mathematical modeling of a multiperiod production-distribution formulation for a closed-loop supply chain.
Originality/value
The model of the agri-food closed-loop supply chain in this study that considers food recycling and carbon emissions would help stakeholders involved in the agri-food supply chain to reduce food waste and carbon emissions.
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As there are different interpretations of the object of study in the preface to the first edition of Capital (Volume I) by Karl Marx, disagreements arise over the object of study…
Abstract
Purpose
As there are different interpretations of the object of study in the preface to the first edition of Capital (Volume I) by Karl Marx, disagreements arise over the object of study on political economy, which becomes a “difficult problem.” The purpose of the paper is to bring a new solution to the “difficult problem.”
Design/methodology/approach
Based on the analysis of the logic of the original text, the authors attempted to give a new interpretation of the “difficult problem” by analyzing the structure of Capital. The object of study of political economy is “the relations of production in the broad sense” of the capitalist mode of production.
Findings
It comprises relations of production in the narrow sense and exchange relations in the broad sense, and the latter can be divided into exchange relations in the narrow sense and distribution relations. The three of them correspond to Volume I, II and III of Capital, respectively. Consumption in “the four-section theory” is not studied by the political economy.
Originality/value
And the four-section theory is not a part of the theory of Marxist economics but a part of the classical economics criticized by Marx. Therefore, the object of study of socialist political economy with Chinese characteristics is “the relations of production in the broad sense” regarding the socialist mode of production with Chinese characteristics, which is different from the capitalist relations of production in the broad sense.
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Image segmentation is one of the most essential tasks in image processing applications. It is a valuable tool in many oriented applications such as health-care systems, pattern…
Abstract
Purpose
Image segmentation is one of the most essential tasks in image processing applications. It is a valuable tool in many oriented applications such as health-care systems, pattern recognition, traffic control, surveillance systems, etc. However, an accurate segmentation is a critical task since finding a correct model that fits a different type of image processing application is a persistent problem. This paper develops a novel segmentation model that aims to be a unified model using any kind of image processing application. The proposed precise and parallel segmentation model (PPSM) combines the three benchmark distribution thresholding techniques to estimate an optimum threshold value that leads to optimum extraction of the segmented region: Gaussian, lognormal and gamma distributions. Moreover, a parallel boosting algorithm is proposed to improve the performance of the developed segmentation algorithm and minimize its computational cost. To evaluate the effectiveness of the proposed PPSM, different benchmark data sets for image segmentation are used such as Planet Hunters 2 (PH2), the International Skin Imaging Collaboration (ISIC), Microsoft Research in Cambridge (MSRC), the Berkley Segmentation Benchmark Data set (BSDS) and Common Objects in COntext (COCO). The obtained results indicate the efficacy of the proposed model in achieving high accuracy with significant processing time reduction compared to other segmentation models and using different types and fields of benchmarking data sets.
Design/methodology/approach
The proposed PPSM combines the three benchmark distribution thresholding techniques to estimate an optimum threshold value that leads to optimum extraction of the segmented region: Gaussian, lognormal and gamma distributions.
Findings
On the basis of the achieved results, it can be observed that the proposed PPSM–minimum cross-entropy thresholding (PPSM–MCET)-based segmentation model is a robust, accurate and highly consistent method with high-performance ability.
Originality/value
A novel hybrid segmentation model is constructed exploiting a combination of Gaussian, gamma and lognormal distributions using MCET. Moreover, and to provide an accurate and high-performance thresholding with minimum computational cost, the proposed PPSM uses a parallel processing method to minimize the computational effort in MCET computing. The proposed model might be used as a valuable tool in many oriented applications such as health-care systems, pattern recognition, traffic control, surveillance systems, etc.
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Beatrice Luceri, Fabrizio Laurini and Sabrina Latusi
The study develops a decision support system for the spatial distribution of store flyers, identifying a number of factors related to the demand and the competition influencing…
Abstract
Purpose
The study develops a decision support system for the spatial distribution of store flyers, identifying a number of factors related to the demand and the competition influencing the complexities of their allocation to the target population.
Design/methodology/approach
The model was developed incorporating the insights found in existing marketing literature and bypassing the limitations of the managerial practices. To this end, an in-depth discussion with a panel of retailers was held. The model was tested in collaboration with a retail chain.
Findings
The proposed system is flexible and provides an almost endless array of solutions in accordance with the retailer's strategic approach to the market. It captures the key trade-offs that need to be made during the decision-making process of a retailer with limited marketing resources.
Practical implications
The traditional managerial approach, based on a set of operational steps, is overtaken by a model that systematically considers the interrelationships between the decision-making factors involved.
Originality/value
This is the first attempt to analyse spatial distribution of store flyers, a topic that has yet to be explored in retail marketing research. The paper conceptualises the key variables which affect the optimisation problem and reviews the different streams of extant research to obtain the appropriate insights.
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Fabian Akkerman, Eduardo Lalla-Ruiz, Martijn Mes and Taco Spitters
Cross-docking is a supply chain distribution and logistics strategy for which less-than-truckload shipments are consolidated into full-truckload shipments. Goods are stored up to…
Abstract
Cross-docking is a supply chain distribution and logistics strategy for which less-than-truckload shipments are consolidated into full-truckload shipments. Goods are stored up to a maximum of 24 hours in a cross-docking terminal. In this chapter, we build on the literature review by Ladier and Alpan (2016), who reviewed cross-docking research and conducted interviews with cross-docking managers to find research gaps and provide recommendations for future research. We conduct a systematic literature review, following the framework by Ladier and Alpan (2016), on cross-docking literature from 2015 up to 2020. We focus on papers that consider the intersection of research and industry, e.g., case studies or studies presenting real-world data. We investigate whether the research has changed according to the recommendations of Ladier and Alpan (2016). Additionally, we examine the adoption of Industry 4.0 practices in cross-docking research, e.g., related to features of the physical internet, the Internet of Things and cyber-physical systems in cross-docking methodologies or case studies. We conclude that only small adaptations have been done based on the recommendations of Ladier and Alpan (2016), but we see growing attention for Industry 4.0 concepts in cross-docking, especially for physical internet hubs.
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The socialist political economy with Chinese characteristics is the scientific fruit of Xi Jinping thought on socialist economy with Chinese characteristics for a new era…
Abstract
Purpose
The socialist political economy with Chinese characteristics is the scientific fruit of Xi Jinping thought on socialist economy with Chinese characteristics for a new era. People-centred philosophy is the core values of the Communist Party of China (CPC) Central Committee's governance of China with Xi Jinping as the core and has become the core values of the socialist political economy with Chinese characteristics. According to Xi Jinping thought on socialist economy with Chinese characteristics, it represents the interests of all people and determines the disciplinary attribute of the socialist political economy with Chinese characteristics, that is, people-centred economics. Xi Jinping has defined the essence of the socialism as eliminating poverty, improving people's livelihood and gradually realising common prosperity. That determines the main line of socialist political economy with Chinese characteristics is to liberate, develop and protect the productive forces and achieve common prosperity. This study aims to discuss the aforementioned statements.
Design/methodology/approach
Xi Jinping's scientific judgement on the new stage of development and the principal contradiction facing Chinese society has put forward the requirement of problem orientation for the study of socialist political economy with Chinese characteristics, involving the main contradiction facing Chinese society, high-quality development and modernisation. China's socialist basic economic system consists of a socialist market economy in which public ownership plays the leading role alongside other forms of ownership and distribution according to work is the mainstay, while other forms of distribution coexist alongside it. And this socialist basic economic system, marked out from three dimensions—production, distribution and exchange analysis, is the key of analysis of systems in the socialist political economy with Chinese characteristics. The economic operation analysis in political economy mainly involves resource allocation and the government's macroeconomic regulation and control.
Findings
The new thought and new practices about the role of the market and the government in the new era have opened up a new realm for the economic operation analysis in the socialist political economy with Chinese characteristics. The new development philosophy and new development paradigm define the content of the economic development theory in the socialist political economy with Chinese characteristics. The new development paradigm reflects the dual circulation theory of social reproduction.
Originality/value
The socialist political economy with Chinese characteristics is to study laws of economics in various aspects from economic system, economic operation, economic development to foreign economy and provide the basic principles of socialist political economy with Chinese characteristics. Its mainstream economic position will be consolidated continuously.
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